Compare GPT-4.1 and Claude 3.5 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 | Claude 3.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $0.80/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $4.00/ 1M tokens |
1. Smartest non-reasoning model
2. Excellent instruction following
3. Reliable tool calling
4. Large 1M-token context window
5. Low latency (no reasoning step)
6. Multimodal input
7. Supports fine-tuning
1. Intelligence & Benchmark Performance
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
4. Tool Use & Instruction Following
5. Best Use Cases
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Summarize complex legal contracts into plain English to understand key terms, obligations, and risks.
Write multiple CTR-focused meta title/description variants aligned to intent and differentiators.
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Draft collaboration outreach messages for partnerships, co-marketing, podcasts, affiliates, and integrations—with clear value exchange and next steps.
Allocate marketing budget and resources across the highest-impact initiatives to communicate your USP and address persona challenges.
Generate three distinct objection-handling scripts for real estate cold calls: empathetic, data-driven, and direct—plus follow-up questions and next steps.
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